978 citations · 1.6k across the 24 of their papers we have counts for
3 papers · 1 filter
Abrupt and spontaneous strategy switches emerge in simple regularised neural networks
Anika T. Löwe, Léo Touzo, Paul S. Muhle-Karbe +3
Humans sometimes have an insight that leads to a sudden and drastic performance improvement on the task they are working on. Sudden strategy adaptations are often linked to insight…
Hierarchical Subtask Discovery With Non-Negative Matrix Factorization
Adam C. Earle, Andrew M. Saxe, Benjamin Rosman
Hierarchical reinforcement learning methods offer a powerful means of planning flexible behavior in complicated domains. However, learning an appropriate hierarchical decomposition…
Hierarchy through Composition with Linearly Solvable Markov Decision Processes
Andrew M. Saxe, Adam Earle, Benjamin Rosman
Hierarchical architectures are critical to the scalability of reinforcement learning methods. Current hierarchical frameworks execute actions serially, with macro-actions comprisin…